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DBMS > BoltDB vs. Elasticsearch vs. Heroic vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison BoltDB vs. Elasticsearch vs. Heroic vs. MarkLogic vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonHeroic  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeSearch engine
Vector DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#230  Overall
#32  Key-value stores
Score131.64
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Score0.02
Rank#368  Overall
#38  Time Series DBMS
Score4.28
Rank#67  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score16.84
Rank#33  Overall
#19  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchgithub.com/­spotify/­heroicwww.progress.com/­marklogicazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspotify.github.io/­heroicwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperElasticSpotifyMarkLogic Corp.Microsoft
Initial release20132010201420012016
Current release8.6, January 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoElastic LicenseOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
hosted
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or datenoyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoSQL92yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoyes infovia XQuery or JavaScriptTransact SQL
Triggersnoyes infoby using the 'percolation' featurenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes, with Range Indexes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsyes

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More resources
BoltDBElasticsearchHeroicMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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